Thanasoontornlerk,K., Kanongchaiyos,P.
Abstract:
Critical-Point Filter (CPF) is a nonlinear filter which preserves intensity and location of each critical point in the image and reduces the resolution without any prior knowledge. Although CPF can avoid blurred intensity and ambiguous location problem of previous linear filters, its computational cost is still expensive due to its complexity. We propose an enhancement of the CPF algorithm for image matching using level set analysis. An image is analyzed and transformed to hierarchical level sets of pixel having same intensity. Connectivity of the level sets represents the image contrast invariant features. Between the corresponding level sets of the input images, two pixels are mapped based on their energy and bijectivity conditions. Finally less computational time with precise mapping is shown in the experimental result